Crate numra_fft 

FFT and spectral analysis for Numra.

Provides Fast Fourier Transform, power spectral density, windowing, convolution, and short-time Fourier transform. Built on rustfft.

All public functions are generic over S: Scalar (f32/f64), with the FFT computation internally performed in f64 via rustfft.

Example

use numra_fft::{fft, ifft, Complex};

let signal: Vec<Complex<f64>> = vec![
    Complex::new(1.0_f64, 0.0),
    Complex::new(0.0, 0.0),
    Complex::new(0.0, 0.0),
    Complex::new(0.0, 0.0),
];
let spectrum = fft(&signal);
let recovered = ifft(&spectrum);
for (a, b) in signal.iter().zip(recovered.iter()) {
    assert!((a.re - b.re).abs() < 1e-12);
}

Author: Moussa Leblouba Date: 9 February 2026 Modified: 2 May 2026

Re-exports

pub use complex::Complex;

pub use complex::ComplexF64;

pub use convolution::fftconvolve;

pub use convolution::fftcorrelate;

pub use fft_core::fft;

pub use fft_core::fft2;

pub use fft_core::ifft;

pub use real::irfft;

pub use real::rfft;

pub use spectral::psd;

pub use spectral::stft;

pub use spectral::welch;

pub use spectral::StftResult;

pub use utils::fftfreq;

pub use utils::fftshift;

pub use utils::ifftshift;

pub use utils::window_func;

pub use utils::Window;

Modules

complex

Minimal complex number type for FFT interfaces.

convolution

FFT-based convolution and correlation.

fft_core

Core FFT and IFFT using rustfft backend.

real

Real-valued FFT: efficient transforms for real input signals.

spectral

Power spectral density, Welch’s method, and STFT.

utils

FFT utility functions: frequencies, shifting, windowing.